mlsanityData to 7 Oct 2026

AnalogCoder: Analog Circuit Design via Training-Free Code Generation

arXiv 2405.14918 ↗First posted 23 May 2024cs.LG cs.ETcited by 82

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Abstract (arXiv)

Analog circuit design is a significant task in modern chip technology, focusing on the selection of component types, connectivity, and parameters to ensure proper circuit functionality. Despite advances made by Large Language Models (LLMs) in digital circuit design, the complexity and scarcity of data in analog circuitry pose significant challenges. To mitigate these issues, we introduce AnalogCoder, the first training-free LLM agent for designing analog circuits through Python code generation. Firstly, AnalogCoder incorporates a feedback-enhanced flow with tailored domain-specific prompts, enabling the automated and self-correcting design of analog circuits with a high success rate. Secondly, it proposes a circuit tool library to archive successful designs as reusable modular sub-circuits, simplifying composite circuit creation. Thirdly, extensive experiments on a benchmark designed to cover a wide range of analog circuit tasks show that AnalogCoder outperforms other LLM-based methods. It has successfully designed 20 circuits, 5 more than standard GPT-4o. We believe AnalogCoder can significantly improve the labor-intensive chip design process, enabling non-experts to design analog circuits efficiently.

Key facts. Cited by 82 papers in the map (data through 7 Oct 2026). Builds on 49 of its 75 references that are in the map. First posted on arXiv 23 May 2024.

Builds on

49 of 75 references.

References · 49

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37 more
  1. 2023ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIscited by 1,880
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  4. 2022Competition-Level Code Generation with AlphaCodecited by 1,427
  5. 2023Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generationcited by 1,332
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 9; 2025: 37; 2026: 36.

82 papers.

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  1. 2025A Survey of Research in Large Language Models for Electronic Design Automationcited by 38
  2. 2025AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologiescited by 35
  3. 2025Text2World: Benchmarking Large Language Models for Symbolic World Model Generationcited by 25
  4. 2024LEDRO: LLM-Enhanced Design Space Reduction and Optimization for Analog Circuitscited by 22
  5. 2024ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertisecited by 20
  6. 2024AnalogXpert: Automating Analog Topology Synthesis by Incorporating Circuit Design Expertise into Large Language Modelscited by 17
  7. 2025AMSbench: A Comprehensive Benchmark for Evaluating MLLM Capabilities in AMS Circuitscited by 14
  8. 2025AnalogCoder-Pro: Unifying Analog Circuit Generation and Optimization via Multi-modal LLMscited by 14
  9. 2026Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimizationcited by 13
  10. 2024LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generationcited by 11
  11. 2024Schemato -- An LLM for Netlist-to-Schematic Conversioncited by 11
  12. 2025CIRCUIT: A Benchmark for Circuit Interpretation and Reasoning Capabilities of LLMscited by 11
38 more
  1. 2024SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidancecited by 10
  2. 2025AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generationcited by 10
  3. 2025AnaFlow: Agentic LLM-based Workflow for Reasoning-Driven Explainable and Sample-Efficient Analog Circuit Sizingcited by 10
  4. 2025AMSnet 2.0: A Large AMS Database with AI Segmentation for Net Detectioncited by 9
  5. 2024INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformerscited by 8
  6. 2025LIFT: LLM-Based Pragma Insertion for HLS via GNN Supervised Fine-Tuningcited by 8
  7. 2024SPICED: Syntactical Bug and Trojan Pattern Identification in A/MS Circuits using LLM-Enhanced Detectioncited by 7
  8. 2025LLM-DSE: Searching Accelerator Parameters with LLM Agentscited by 7
  9. 2025TopoSizing: An LLM-aided Framework of Topology-based Understanding and Sizing for AMS Circuitscited by 7
  10. 2026AlignCoder: Aligning Retrieval with Target Intent for Repository-Level Code Completioncited by 7
  11. 2025Evolution of Optimization Algorithms for Global Placement via Large Language Modelscited by 6
  12. 2025MenTeR: A fully-automated Multi-agenT workflow for end-to-end RF/Analog Circuits Netlist Designcited by 6
  13. 2025LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generationcited by 6
  14. 2025HeaRT: A Hierarchical Circuit Reasoning Tree-Based Agentic Framework for AMS Design Optimizationcited by 5
  15. 2025FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Designcited by 4
  16. 2025A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extractioncited by 3
  17. 2026DRAINCODE: Stealthy Energy Consumption Attacks on Retrieval-Augmented Code Generation via Context Poisoningcited by 3
  18. 2026AnalogAgent: Self-Improving Analog Circuit Design Automation with LLM Agentscited by 3
  19. 2025DICE: Device-level Integrated Circuits Encoder with Graph Contrastive Pretrainingcited by 2
  20. 2025TPU-Gen: LLM-Driven Custom Tensor Processing Unit Generatorcited by 2
  21. 2025Evaluating LLM-based Workflows for Switched-Mode Power Supply Designcited by 2
  22. 2025GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identificationcited by 2
  23. 2025EEschematic: Multimodal-LLM Based AI Agent for Schematic Generation of Analog Circuitcited by 2
  24. 2025DeepRWCap: Neural-Guided Random-Walk Capacitance Solver for IC Designcited by 2
  25. 2025ZeroSim: Zero-Shot Analog Circuit Evaluation with Unified Transformer Embeddingscited by 2
  26. 2026OSIRIS: Bridging Analog Circuit Design and Machine Learning with Scalable Dataset Generationcited by 2
  27. 2026CircuitFormer: A Circuit Language Model for Analog Topology Design from Natural Language Promptcited by 2
  28. 2026PANDA: An LLM-Enhanced Performance-Driven Analog Design Framework Bridging Design Intent and Layout Generationcited by 2
  29. 2026PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agentscited by 2
  30. 2024CktGen: Automated Analog Circuit Design with Generative Artificial Intelligencecited by 1
  31. 2025SPICEMixer - Netlist-Level Circuit Evolutioncited by 1
  32. 2025Polymath: A Self-Optimizing Agent with Dynamic Hierarchical Workflowcited by 1
  33. 2025Principle-Guided Verilog Optimization: IP-Safe Knowledge Transfer via Local-Cloud Collaborationcited by 1
  34. 2025Dataset Construction for Training LLM to Learn Analog Circuit Knowledgecited by 1
  35. 2025White-Box Reasoning: Synergizing LLM Strategy and gm/Id Data for Automated Analog Circuit Designcited by 1
  36. 2026Report for NSF Workshop on AI for Electronic Design Automationcited by 1
  37. 2026PowerGenie: Analytically-Guided Evolutionary Discovery of Superior Reconfigurable Power Converterscited by 1
  38. 2026AstRL: Analog and Mixed-Signal Circuit Synthesis with Deep Reinforcement Learningcited by 1

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  1. 2025AnalogSAGE: Self-evolving Analog Design Multi-Agents with Stratified Memory and Grounded Experience
  2. 2025CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
  3. 2024AMSnet-KG: A Netlist Dataset for LLM-based AMS Circuit Auto-Design Using Knowledge Graph RAG
  4. 2026AutoSizer: Automatic Sizing of Analog and Mixed-Signal Circuits via Large Language Model (LLM) Agents
  5. 2026ARCS: Autoregressive Circuit Synthesis with Topology-Aware Graph Attention and Spec Conditioning
  6. 2026RFChipAgent: Multi-Agentic AI Flow for Analog/RF Chip Design
  7. 2021A flexible and fast PyTorch toolkit for simulating training and inference on analog crossbar arrays
  8. 2025QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation